Pathway富集分析气泡图

标签：技术   number   cal   ant   plot   分享   geo   class   分析   

1. data.tsv 
2. 

3. > pathway = read.table("data.tsv",header = T, sep="\t")
   > library(ggplot2) 
   > p = ggplot(pathway,aes(Pvalue,Pathway))
   > p=p + geom_point()  
   > p=p + geom_point(aes(size=Count))
   > pbubble = p+ geom_point(aes(size=Count,color=-1*log10(Pvalue)))
   > pr = pbubble+scale_color_gradient(low="green",high = "red")
   > pr = pr+labs(color=expression(-log[10](Pvalue)),size="Gene number",  
   +              x="Pvalue",y="Pathway name",title="Pathway enrichment")
   > pr=pr + theme_bw()
   

4. 

Pathway富集分析气泡图

标签：技术   number   cal   ant   plot   分享   geo   class   分析   

原文地址：http://www.cnblogs.com/xiaojikuaipao/p/7543613.html